The Structured File Lens is a versatile tool designed to automate the transformation of semi-structured data formats—including CSV, JSON, XML, XLSX, and ODS—into fully compatible RDF 1.1 data (N-QUADS or Labelled Property Graph CSV. This lightweight, highly scalable, and platform-agnostic solution ensures seamless integration with various graph databases, facilitating efficient data management and analysis.
Key Features and Functionality:
- Automated Data Transformation: Converts semi-structured files into RDF 1.1 or Labelled Property Graph CSV formats, streamlining data processing workflows.
- Provenance Tracking: Includes provenance information by default, enhancing data traceability and reliability.
- Compatibility with Graph Databases: Supports integration with common graph databases, including full compatibility with Amazon Neptune.
- Adherence to W3C Standards: Complies with W3C Semantic Web Standards, such as RDF 1.1 and SPARQL 1.1, ensuring interoperability and adherence to industry best practices.
Primary Value and User Solutions:
The Structured File Lens addresses the challenge of converting diverse semi-structured data formats into standardized graph data models. By automating this process, it reduces manual effort, minimizes errors, and accelerates data integration tasks. Its scalability and platform independence make it suitable for various environments, from on-premises setups to cloud-based infrastructures. Users benefit from enhanced data interoperability, improved data quality through provenance tracking, and seamless integration with existing graph databases, ultimately enabling more effective data analysis and decision-making processes.
Seller
Data LensProduct Description
The Structured File Lens is a versatile tool designed to automate the transformation of semi-structured data formats—including CSV, JSON, XML, XLSX, and ODS—into fully compatible RDF 1.1 data (N-QUADS or Labelled Property Graph CSV. This lightweight, highly scalable, and platform-agnostic solution ensures seamless integration with various graph databases, facilitating efficient data management and analysis.
Key Features and Functionality:
- Automated Data Transformation: Converts semi-structured files into RDF 1.1 or Labelled Property Graph CSV formats, streamlining data processing workflows.
- Provenance Tracking: Includes provenance information by default, enhancing data traceability and reliability.
- Compatibility with Graph Databases: Supports integration with common graph databases, including full compatibility with Amazon Neptune.
- Adherence to W3C Standards: Complies with W3C Semantic Web Standards, such as RDF 1.1 and SPARQL 1.1, ensuring interoperability and adherence to industry best practices.
Primary Value and User Solutions:
The Structured File Lens addresses the challenge of converting diverse semi-structured data formats into standardized graph data models. By automating this process, it reduces manual effort, minimizes errors, and accelerates data integration tasks. Its scalability and platform independence make it suitable for various environments, from on-premises setups to cloud-based infrastructures. Users benefit from enhanced data interoperability, improved data quality through provenance tracking, and seamless integration with existing graph databases, ultimately enabling more effective data analysis and decision-making processes.
